Physical Sciences and Mathematics Commons^™

Modeling Physiological Response To Stress Via Hormone And Catecholamine Production, Helen Harris

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Mathematical Model Of Competing Nest Founding Strategies By Queen Harvester Ant Pogonomyremex Californicus, Tamantha Pizarro, Yun Kang

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

2023-24 Women In Science Conference Schedule (Pdf), Lynn University

Women in Science Conference

2023-24 Women in Environmental Science Conference Schedule (PDF)

An Insight Into The Physicochemical, Drug-Likeness, Pharmacokinetics And Toxicity Profile Of Kigelia Africana (Lam) Bioactive Compounds, Sulyman Olalekan Ibrahim, Halimat Yusuf Lukman, Marili Funmilayo Zubair, Oluwagbemiga Tayo Amusan, Fatimah Ronke Abdulkadri, Bashir Lawal, Lateefat Bello Abdulfatah, Olubunmi Atolani

Al-Bahir

Kigelia africana plant is multipurpose plant whose therapeutic potential has been thoroughly investigated. The physicochemical, solubilities, ADMET, pharmacological, and drug-like properties of this plant have not been reported in details. This study makes use of the information that is currently known on the chemical make-up of the plant to forecast its overall toxicity as well as the potential for the phytochemicals it contains to be employed in medication discovery. The study also employed free web servers for the lipophilicity, water solubility, drug-likness, bioavailability score, medicinal chemistry and toxicological profiling of the compounds of K. africana. Artemether, a known antimalaria …

⊕-Supplemented Semimodules, Ahmed H. Alwan

Al-Bahir

In this paper, ⊕-Supplemented Semimodules are defined as generalizations of ⊕-Supplemented modules. Let S be a semiring. An S-semimodule A is named a ⊕-supplemented semimodule, if every subsemimodule of A has a supplement which is a direct summand of A. In this paper, we investigate some properties of ⊕-supplemented semimodules besides generalize certain results on ⊕-supplemented modules to semimodules.

Program: 2023 Undergraduate Mathematics Day, University Of Dayton

Undergraduate Mathematics Day: Programs, Lectures, Promotional Materials

No abstract provided.

Promoter Effect On Carbon Nanosphere-Encapsulated Fe-Co Catalysts For Converting Co2 To Light Olefins, Daniel Weber, Akash Gandotra, John Schossig, Heng Zhang, Michael Wildy, Wanying Wei, Kevin Arizapana, Jin Zhong Zhang, Ping Lu, Cheng Zhang

College of Science & Mathematics Departmental Research

For this work, we investigated the promotor effect (M = Na+, K+, Ce3+, Zn2+, Mn2+) on carbon nanosphere-encapsulated bimetallic Fe-Co core–shell catalysts for CO2 hydrogenation, promising selectivity for converting CO2 to light olefins. The fresh and spent catalysts were characterized using a combination of experimental techniques such as scanning electron microscopy (SEM), X-ray diffraction (XRD), thermogravimetric analysis and differential scanning calorimetry (TGA–DSC), and Raman spectroscopy, and our results reveal that the addition of the promotor M enhanced the formation of graphitic carbon and metal carbides in the promoted catalysts when compared with the unpromoted catalysts. The metal carbides were determined …

Bridging Domain Gaps For Cross-Spectrum And Long-Range Face Recognition Using Domain Adaptive Machine Learning, Cedric Armel Nimpa Fondje

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Face recognition technology has witnessed significant advancements in recent decades, enabling its widespread adoption in various applications such as security, surveillance, and biometrics applications. However, one of the primary challenges faced by existing face recognition systems is their limited performance when presented with images from different modalities or domains( such as infrared to visible, long range to close range, nighttime to daytime, profile to f rontal, etc.) Additionally, advancements in camera sensors, analytics beyond the visible spectrum, and the increasing size of cross-modal datasets have led to a particular interest in cross-modal learning for face recognition in the biometrics and …

A Cryptographic Tour Of The Enigma, Frank Casabianca

Undergraduate Mathematics Day: Programs, Lectures, Promotional Materials

Cryptography is the study of hidden information. This includes techniques to create and read secure secret messages (encryption/decryption) as well as methods to break the security of hidden messages, regardless of the intended recipient (cryptanalysis). This talk will explore basic cryptographic principles using manual cryptosystems, progress to the concepts behind - and the mechanical inner workings of - the well-known Enigma Cipher deployed in WWII, and discuss how cryptography surrounds us in the modern day.

Poster: 2023 Undergraduate Mathematics Day, University Of Dayton

Undergraduate Mathematics Day: Programs, Lectures, Promotional Materials

No abstract provided.

23rd Annual Kenneth C. Schraut Memorial Lecture: Languages, Alphabets, And Group Theory, Gizem Karaali

Undergraduate Mathematics Day: Programs, Lectures, Promotional Materials

In 1960 Eugene Wigner wrote a now-famous article titled The Unreasonable Effectiveness of Mathematics in the Natural Sciences. In 1993, the homophonic quotient groups for French and English (the quotient of the free group generated by the French (respectively English) alphabet determined by relations representing standard pronunciation rules) were explicitly characterized. In this talk, we will explore the mathematical and philosophical connections between these two works. Mathematically I will describe how my colleagues Herbert Gangl, Woohyung Lee (PO’15) and I, native speakers of three quite different languages, applied the methodology proposed in 1993 to our three language systems: German, Korean, …

Deciphering Trends And Tactics: Data-Driven Techniques For Forecasting Information Spread And Detecting Coordinated Campaigns In Social Media, Kin Wai Ng Lugo

USF Tampa Graduate Theses and Dissertations

The main objective of this dissertation is to develop models that predict and investigate the spread of information in social media over time. In this context, we consider topics of discussions as the information that spreads. Thus, we are interested in forecasting the number of messages per day in a future interval of time. We take a data-driven approach, in which we compare our results with real datasets from a multitude of socio-political contexts and from multiple social media platforms, specifically, Twitter and YouTube.

We identified a number of challenges related to forecasting social media time series per topic. First, …

Coupling Chemical And Genomic Data Of Marine Sediment-Associated Bacteria For Metabolite Profiling, Stephanie P. Suarez

USF Tampa Graduate Theses and Dissertations

Marine sediment-associated bacteria house many new and exciting novel secondary metabolites. These metabolites can be tested for bioactivity against various types of cancer and fungal, bacterial, and viral infections. In this thesis, we investigated the combination of biosynthetic gene cluster information with mass spectra to perform a chemical profiling of sediment- associated bacteria. Furthermore, we utilized a scoring technique to provide an identification and confidence score to each annotated compound. The sediment was collected from east Arthur Harbor, Palmer Station, Antarctica, at depths of 20 ft and 60 ft. After plating on agar, 52 unique bacterial strains were isolated, with …

The Effects Of Brain Control: A 3-D Agent-Based Model For Studying Pain, Kayla Kraeuter, Carley Reith, Benedict Kolber, Rachael Miller Neilan

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

The Effects Of Persistent Post-Concussion Syndrome, Jackson Flemming, Olivia Schleifer, Megan Powell

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Mathematical Modeling And Simulation Of Migration Dynamics Of Ukrainian Refugees Due To War In Ukraine 2022-2023, Danielle Sitalo, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Disease Informed Neural Network And Mathematical Modeling Of Covid-19 With Human Intervention, Jeremis Morales-Morales, Alonso Gabriel Ogueda, Carmen Caiseda, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling The Communication Dynamics In Human-Autonomy Teams: Insights From Search And Rescue Scenarios, Carlos E. Bustamante Orellana, Lucero Rodriguez Rodriguez, Yun Kang

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Biomimetic Modifications On The Bridging Cys Residue Ligand Of An Feni Hydrogenase, Madeline Kesner

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Mathematical Modeling Of The Impact Of Lobbying On Climate Policy, Andrew Jacoby, Claire Hannah, James Hutchinson, Jasmine Narehood, Aditi Ghosh, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modelling Impact Of Diverse Vegetation On Crop-Pollinator Interactions, Morgan N. Beetler

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Compartmental Modeling For The Neophyte: An Application Of Berkeley-Madonna, Olcay Akman, Siddharth Bhumpelli, Cody Cline, Christopher Hay-Jahans

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling Maternal Outcomes By Predicting Geospatial And Social Determinants Of Health, Emily Thompson

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

A Mathematical Model Of Acanthocephalan Parasite Infection In Gull-Billed Terns, Charlotte Moser

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling The Opioid Epidemic: Medicated Versus Non-Medicated Treatment, Gabriel Greenberg, Maniha Akram, Muskan Agarwal

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Myth Or Fact? An Analysis Of Covid-19 Deaths In Red Versus Blue States Of America, Nishat Ara Mozid, Kwabena Sakyi Duku

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Estimating & Modeling The Growth Of Bromeliads, Erin N. Bodine, Helen O. Udeochu, Alana G. Wells

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Assessment Of Awareness Regarding Climate Change Between Seafarers Towards Sdgs Achievement, Ahmed Saad Noufal, Adham Torky, Kareem Tonbol

Blue Economy

This research study examines the perception of seafarers regarding climate change, a significant global issue. The present study aims to investigate the degree of awareness and comprehension of climate change impacts among marine officers. Specifically, the research focuses on exploring the potential association between the marine officers' ranks and their knowledge of climate change issues. The study utilises a quantitative analytical approach, employing questionnaires as the primary means of data collection and the Chi-Square test for statistical analysis. The findings of the research indicate a noteworthy correlation between the hierarchical positions of the marine respondents and their perspectives on the …

Probing The Electroweak Phase Transition With Exotic Higgs Decays, Marcela Carena, Jonathan Kozaczuk, Zhen Liu, Tong Ou, Michael J. Ramsey-Musolf, Jessie Shelton, Yikun Wang, Ke-Pan Xie

Department of Physics and Astronomy: Faculty Publications

An essential goal of the Higgs physics program at the LHC and beyond is to explore the nature of the Higgs potential and shed light on the mechanism of electroweak symmetry breaking. An important class of models alter the thermal history of electroweak symmetry breaking from the predictions of the Standard Model (SM). This paper reviews the existence of a region of parameter space where a strong first-order electroweak phase transition is compatible with exotic decays of the SM-like Higgs boson. A dedicated search for exotic Higgs decays can actively explore this framework at the Large Hadron Collider (LHC), while …

Estimating Mars Surface Wind Stress And Dust Lifting Using Reanalyses Based On Emm And Other Spacecraft Observations, Haneen Edhar Abouhaligah

Thesis/ Dissertation Defenses

Dust is the primary aerosol in Mars’ atmosphere and has strong interactions with visible light from the Sun and infrared emission from the surface and air. Understanding dust dynamics in the Martian atmosphere is critical for our understanding of its weather and climate. The rate at which dust is lifted from the surface at different locations is very difficult to measure yet determines the amount of dust in the atmosphere at any given time. This thesis investigates the role of near-surface wind stress (NSWS) and dust lifting rates, using six reanalysis datasets, respectively: MACDA, EMARS, OpenMARS, ACS-TIRVIM (ExoMars observations of …